Affiliation:
1. Department of Biology, College of Science, University of Misan, Maysan, Iraq
Abstract
Breast cancer is a heterogeneous disease regarding its morphology, invasive behavior, metastatic capacity, hormone receptor expression and clinical outcome. Many risk factors for breast cancer, including genetic factors, account for 25-30% of the incidence. About 15-30% of breast cancer is heritable due to known familiar highly penetrates genes and the others are sporadic; It is worthy to state that this study was the first in the world to include amplified genes as a PCR template to determine the relationship between their polymorphism and breast cancer incidence using, RAPD of amplified genes. The study was designed first to evaluate the association of ABCG2 gene polymorphism beside miRNA-152 and ER-a using the RAPD technique with breast cancer incidence in Maysan province women, and second to use those genes as indicators for breast cancer prediction and diagnosis. The study included 100 patients with breast cancer and 30 control healthy women, and then all samples were amplified by conventional PCR by specific F and R primer for (ABCG2, ER-α, miRNA-152) genes and then the best (20 PCR product) from which was chosen as the template for PCR RAPD PCR technique. The results revealed there are significant differences (P < 0.05) in the unique band of ABCG2 at marker OPAA 11, OPU 15, OPAA 17, significant differences (P < 0.05) in the total band of ER- α at marker OPAA11, significant differences in the polymorphic band of ER- α at marker OPU 15, significant differences in the unique band of ER- α at marker OPAA11, OPU 15, and significant differences (P < 0.05) in the bands that had been size (50-60) bp, (140 - 150) bp, (170-180 ) bp of miRNA-152 at marker OPAA 17, OPD 18 between breast cancer patients and control. Our study proved the relationship between genetic polymorphism of breast cancer-related genes (ABCG2, ER-α, miRNA-152) and a higher incidence of cancer; The current study recommends employing these results for future prediction and diagnosis of breast cancers.
Subject
Infectious Diseases,Applied Microbiology and Biotechnology,Epidemiology,Biotechnology
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